Welcome to the Computer Networks Research Group
The Computer Networks group conducts research and teaching activities focusing on networked systems of all kinds, ranging from cloud data centers to mobile devices. In the era of AI proliferation, networked systems have become critical infrastructures for supporting both the training and inference of large machine learning models. Our research explores how to make such networked systems more efficient and sustainable.
Research
We focus our research on networked systems and we strive to create concepts and methods to make networked systems, ranging from data centers to mobile/IoT devices, more efficient and sustainable for modern machine learning applications. Our goal is to create better programming tools, systems, and protocols, leveraging the capabilities offered by emerging hardware. Main research topics include: data center computing for machine learning and time-sensitive machine learning on mobile and IoT devices.
Teaching
Our teaching is focused on networked systems. Our recent, current, and upcoming course offerings are listed below. Note that the upcoming ones are projections based on offerings in last year and may be subject to changes.
The following modules will be offered regularly in the coming years.
- Lecture: Computer Networks (BSc) - Winter Semsters
- Lecture: Distributed Systems (BSc) - Winter Semesters
- Lecture: Advanced Networked Systems (MSc) - Summer Semsters
- Lecture: Advanced Networked Systems
- Seminar: Systems Support for LLM Inference
- Project Group: Benchmarking and Optimizing Mobile RAG Systems
- Lecture: Computer Networks (BSc)
- Lecture: Distributed Systems (BSc)
- Lecture: Advanced Networked Systems (MSc)
- Seminar: Networking for LLMs (MSc)
- Project Group: Sustainable Internet of Things (MSc)
- Lecture: Computer Networks (BSc)
- Seminar: Programmable Networks (MSc)
- Project Group: Sustainable Internet of Things (MSc)
- Lecture: Advanced Networked Systems (MSc)
- Seminar: In-Network Computing (MSc)
- Lecture: Computer Networks (BSc)
Student Thesis
We offer thesis projects at both bachelor and master levels continuously.
Team
We are a dynamic, international team with members coming from different countries and with different backgrounds.